In today's competitive world, many manufacturing and service firms, including banks, have been forced to use new managerial approaches, and methods for assessing organizational performance. The Data Envelopment Analysis (DEA) approach is one of these approaches, which has been used to evaluate the performance of organizations since 1978. The purpose of this research is to use the technology super-efficiency in measuring the efficiency of bank branches (Case Study: Melli Bank of Gilan Province). In this research, the input-vector model of data envelopment analysis, in the form of constant return-to-equilibrium, and Anderson-Pearson (AP) superclass, have been used to measure the efficiency of branches 1, 2 and 3 degrees in the Melli Bank of Gilan Province, in 2015. In summary, the results showed that the average of the efficiency score of the surveyed branches in 2015 is 0.75. The grade of a branch of Golsar, Rasht, was introduced as the most efficient case, and Kish Shahr Bandar was introduced as the most inefficient branch, due to a score of 0.8, lower than the average of the total number of branches. The results showed that the most important factor in the weakness of cost management in inefficient branches is the cost of advertising and marketing, and the most weakness in the planning of the field of staff training of the inefficient branches. Manuscript profile

Production planning includes complex topics of production and operation management that according to expansion of decision-making methods, have been considerably developed. Nowadays, Managers use innovative approaches to solving problems of production planning. Given that the production plan is a type of prediction, models should be such that the slightest deviation from their reality. In this study, in order to minimize deviations from the values stated in the tea industry, two Particle Swarm optimization algorithm and genetic algorithm were used to solve the model. The data were obtained through interviews with Securities and Exchange Organization and those in financial units, industrial, commercial, and production. The results indicated the superiority of birds swarm optimization algorithm in the tea industry. Manuscript profile

The rapid world economic growth has driven the businessestowards involvement in international marketplaces due tolower business risks, lower commitment of resources, andhigher flexibility of these markets. However, evidence indicatesthat barriers to exportation vary across different stages of internationalization.Therefore, this empirical study was carriedout to explore exportation barriers of agricultural commodities,especially honey, in Iran. Based on an explorative literaturereview, several factors were considered as export barriers ofagricultural commodities. These barriers were provided to a sample of 20 honey exporters in Ardabil province using aquestionnaire. After collecting and analyzing the data, 21 factors were identified as the important barriers to honeyexport. A graph theory-based technique (DEMATEL) withfeedback structure was used to explore the direct and indirecteffects of barriers on the other barriers and the whole system.The results indicate that adjusting export promotion activities,lack of home government assistance/incentives, shortage ofworking capital to finance exports, high tariff and nontariffbarriers, different foreign customer habits/attitudes are themost critical barriers in the order of importance. Manuscript profile